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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2037
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    INDEX
    Explanations

    expressions related to explaining or clarifying something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or propositions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.68
     watershed
    -0.64
     Lieberman
    -0.63
     vigilance
    -0.62
    meet
    -0.60
     novelty
    -0.60
    rule
    -0.59
    Dub
    -0.59
     TIM
    -0.59
     extrad
    -0.58
    POSITIVE LOGITS
    orah
    0.96
    aucus
    0.71
    ften
    0.70
    hower
    0.70
    eous
    0.70
    hesive
    0.69
    soType
    0.69
    oice
    0.68
    ptoms
    0.67
    oke
    0.67
    Activations Density 0.082%

    No Known Activations